venturebeat
8 billion tokens a day forced AT&T to rethink AI orchestration — and cut costs by 90%

When your average daily token usage is 8 billion a day, you have a massive scale problem. <br /> <br /> This was the case at AT&T, and chief data officer Andy Markus and his team recognized that it simply wasn’t feasible (or economical) to push everything through large reasoning models. <br /> <br /> So, when building out an internal Ask AT&T personal assistant, they reconstructed the orchestration layer. The result: A multi-agent stack built on LangChain where large language model “super agents” direct smaller, underlying “worker” agents performing more concise, purpose-driven work. <br /> <br /> This flexible orchestration layer has dramatically improved latency, speed and response times, Markus told VentureBeat. Most notably, his tea [...]

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venturebeat
Claude’s next enterprise battle is not models: it’s the agent control plane

New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]

Match Score: 160.35

venturebeat
Agentic orchestration: Enterprise AI organizations know how to govern agents but still can't meter what they cost

Across 107 enterprises, agentic orchestration is not a choice of a single platform.The typical enterprise runs three orchestration platforms at once, and selects them for flexibility across models rat [...]

Match Score: 131.82

venturebeat
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents

Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged [...]

Match Score: 107.89

venturebeat
AI price wars: OpenAI cuts GPT-5.6 Luna prices by 80% as model competition shifts toward cost

To quote an ancient Jedi Master "Begun, the AI price wars have!"OpenAI is sharply reducing the prices of two models in its GPT-5.6 frontier series, cutting GPT-5.6 Luna, the smallest and fas [...]

Match Score: 105.49

venturebeat
Mistral AI launches Workflows, a Temporal-powered orchestration engine already running millions of daily executions

Mistral AI, the Paris-based artificial intelligence company valued at €11.7 billion ($13.8 billion), today released Workflows in public preview — a production-grade orchestration layer designed to [...]

Match Score: 103.84

venturebeat
DeepSeek drops open-source model that compresses text 10x through images, defying conventions

DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large l [...]

Match Score: 97.81

venturebeat
Writer's AI harness cuts token spend nearly 40% — without sacrificing accuracy

Enterprise AI is facing an ROI paradox. While throwing more compute at the strongest foundation model works well in product experiments, the costs become unbearable when the product is deployed in pro [...]

Match Score: 89.69

venturebeat
SpaceXAI debuts Grok 4.6, overtaking Kimi K3's performance and matching GPT-5.6 Sol for world's third best on Artificial Analysis

Elon Musk's company SpaceXAI, formerly known as xAI, has released Grok 4.6, its latest frontier AI model, with a focus on long-running agents, coding and knowledge work — and a pricing strategy [...]

Match Score: 89.59

venturebeat
DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

Even as the geopolitical conversation around AI continues to grow more fraught following the U.S. government's actions to limit the new models from Anthropic and OpenAI, Chinese open source darli [...]

Match Score: 86.15